LLM-generated aggregate card sortings agree moderately with human results (NMI around 0.68), with accuracy decreasing for larger card sets and complex labels.
Task-based open card sorting: Towards a new method to produce usable information architectures
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Card Sorting Simulator: Augmenting Design of Logical Information Architectures with Large Language Models
LLM-generated aggregate card sortings agree moderately with human results (NMI around 0.68), with accuracy decreasing for larger card sets and complex labels.